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Field
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of Science, Mathematics, Computer Science, or a closely related field. Demonstrated computational expertise (e.g., Python, network analysis, data wrangling). A research profile that engages with questions
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). Experience with cell line immortalization and validation. Competency in data analysis (R/Python/GraphPad), and version-controlled workflows. Evidence of mentorship, leadership, and effective cross-functional
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components. • Experience with scientific programming or scripting languages such as Python, Fortran, C/C++, or similar, for simulation automation, data processing, or workflow integration. Desired
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, materials science, chemical engineering, bioengineering, or a closely related field. The candidate should have strong problem-solving skills and be highly motivated. Programming skills (Python or Fortran
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, Electrical and Computer Engineering, or a closely related field. ● Proficiency in MATLAB or Python. ● Prior experience with Neuroimaging analysis (using FSL, AFNI, SPM, etc.) ● At least one
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Multi-omics integration Mass spectrometry-based metabolomics NGS Data Analysis Programming proficiency in R or Python Training and Mentoring Junior Scientists Strong scientific communication Excellent
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from noisy, high-dimensional data. Strong programming skills (e.g., Python, R, C++) for handling large datasets and implementing models. A genuine curiosity about how science works and a desire to ask
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application to power systems, control, optimization, or cybersecurity. Programming skills in Python and experience with at least one modern machine learning framework such as PyTorch or TensorFlow. Demonstrated
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physics. Familiarity with scientific programing languages such as python. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected
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. Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries. Research Excellence: Proven track record